[Corpora-List] Postdoc position at Carnegie Mellon University: NLP for usable privacy

Noah A Smith nasmith at cs.cmu.edu
Wed Aug 21 17:43:53 CEST 2013


The School of Computer Science at Carnegie Mellon University has a post-doc opening to work on a new, interdisciplinary project aimed at semi-automatically extracting relevant privacy policy features on a large-scale through a combination of natural language processing, crowdsourcing and machine learning. Project website: http://usableprivacy.org ; press release from the NSF: http://www.nsf.gov/news/news_summ.jsp?cntn_id=128679&org=NSF&from=news

This opening is for a postdoc who will help develop, validate and deploy methods, techniques and tools for large-scale, semi-automated text analysis of privacy policies. The objective is to extract key privacy policy features for presentation to end-users in a structured and easily understandable format. We seek an individual with expertise in natural language processing, machine learning, and crowdsourcing methodologies who is interested in usable privacy.

Candidates are expected to be capable of working under limited supervision and should have strong communication skills. They are also expected to have reasonable development skills and have experience collaborating with others in the context of large-scale research projects and software projects. Actual work is expected to involve a mix of conceptual design, experimentation, software development, and empirical evaluations (including human subject experiments). The successful candidate is expected to publish papers in top conferences and journals along with other faculty and students.

Initial appointments will be for one or two years with option of renewal for an additional one or two years. The start date is negotiable with a preference for early Fall 2013. Carnegie Mellon offers competitive salaries and benefits.

Questions should be directed to Prof. Noah Smith (nasmith at cs.cmu.edu) and Prof. Norman Sadeh (sadeh at cs.cmu.edu).

To be considered for this position, interested candidates should forward their resume along with the names of three references to:

Ms. Linda Francona ISR – School of Computer Science 5000 Forbes Avenue Pittsburgh, PA 15213-3891, USA Tel: +1-412-268-9934 Email: laf20 at cs.cmu.edu -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 2550 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20130821/fa438fc1/attachment.txt>



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